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Data literacy to the fore in 2017

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Last year we saw an explosion of data, but unfortunately, not aren’t enough people with the expertise to handle the increasing levels of data and computing. DAN SOMMER, Senior Director of Qlik, predicts that in 2017 a culture-wide change is needed.

Over the past twelve months we’ve seen an explosion of data, an increase in processing it and a move towards information activism. This means the number of employees actively able to work with – and master – the huge amounts of information available, such as data scientists, application developers, and business analysts, have become a valuable entity.

Unfortunately, however, there still aren’t enough people with the expertise to handle the ever-increasing, vast levels of data and computing. You would assume, with all the information currently being produced and held by businesses, that 2017 would see us in a new digital era of facts. But, without the right number of specialists to consume and analyse it, there’s a gap in resources.  Data is, unfortunately, growing faster than our ability to make use of it.

For many business leaders then, this means a reliance on gut instinct to make even the most important decisions. Unable to hone in on the most important insights, they’re presented with multiple – and sometimes conflicting – data points, so the most important ones seem unreliable.

The situation needs to change. Yes, that will mean upskilling more data scientists in 2017, but there will be a greater focus on empowering more people more broadly. That will go beyond information activists and towards providing more people with the tools and training to increase data literacy. Just as reading and writing skills needed to move beyond scholars 100 years ago, data literacy will become one of the most important business skills for any member of staff.

So, what will change to see culture-wide data literacy become a reality? Here are my predictions:

1.    Combinations of data – Big data will become less about size and more about combinations. With more fragmentation of data and most of it created externally in the cloud, there will be a cost impact to hoarding data without a clear purpose. That means we’ll move towards a model where businesses have to quickly combine their big data with small data so they can gain insights and context to get value from it as quickly as possible. Combining data will also shine a light on false information more easily, improving data accuracy as well as understanding.

2.    Hybrid thinking – In 2017, hybrid cloud and multi-platform will emerge as the primary model for data analytics. Because of where data is generated, ease of getting started, and its ability to scale, we’re now seeing an accelerated move to cloud. But one cloud is not enough, because the data and workloads won’t be in one platform. In addition, data gravity also means that on premise has long staying power. Hybrid and multi-environment will emerge as the dominant model, meaning workloads and publishing will happen across cloud and on-premise.

3.    Self-service for all – Freemium is the new normal, so 2017 will be the year users have easier access to their analytics. More and more data visualisation tools are available at low cost, or even for free, so some form of analytics will become accessible across the workforce. With more people beginning their analytics journey, data literacy rates will naturally increase — more people will know what they’re looking at and what it means for their organisation. That means information activism will rise too.

4.   Scale-up – Much a result of its own success, user-driven data discovery from two years ago has become today’s enterprise-wide BI. In 2017, this will evolve to replace archaic reporting-first platforms. As modern BI becomes the new reference architecture, it will open more self-service data analysis to more people. It also puts different requirements on the back end for scale, performance, governance, and security.

5.    Advancing analytics – In 2017, the focus will shift from “advanced analytics” to “advancing analytics.” Advanced analytics is critical, but the creation of the models, as well as the governance and curation of them, is dependent on highly-skilled experts. However, many more should be able to benefit from those models once they are created, meaning that they can be brought into self-service tools. In addition, analytics can be advanced by increased intelligence being embedded into software, removing complexity and chaperoning insights. But the analytical journey shouldn’t be a black box or too prescriptive. There is a lot of hype around “artificial intelligence,” but it will often serve best as an augmentation rather than replacement of human analysis because it’s equally important to keep asking the right questions as it is to provide the answers.

6.    Visualisation as a concept will move from analysis-only to the whole information supply chain – Visualisation will become a strong component in unified hubs that take a visual approach to information asset management, as well as visual self-service data preparation, underpinning the actual visual analysis. Furthermore, progress will be made in having visualisation as a means to communicate our findings. The net effect of this is increased numbers of users doing more in the data supply chain.

7.    Focus will shift to custom analytic apps and analytics in the app – Everyone won’t — and cannot be —both a producer and a consumer of apps. But they should be able to explore their own data. Data literacy will therefore benefit from analytics meeting people where they are, with applications developed to support them in their own context and situation, as well as the analytics tools we use when setting out to do some data analysis.  As such, open, extensible tools that can be easily customised and contextualised by application and web developers will make further headway.

These trends lay the foundation for increased levels of not just information activism, but also data literacy. After all, new platforms and technologies that can catch “the other half” (i.e., less skilled information workers and operational workers on the go) will help usher us into an era where the right data becomes connected with people and their ideas — that’s going to close the chasm between the levels of data we have available and our ability to garner insights from it. Which, let’s face it, is what we need to put us on the path toward a more enlightened, information-driven, and fact-based era.

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Samsung S10 in lock-step with its rivals?

Tonight Samsung will kick off the next round in the smartphone wars with the S10 range, writes ARTHUR GOLDSTUCK.

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When Samsung unveils the new S10 smartphone at an event in San Francisco today, it will mark the beginning of the 2019 round of World War S. That stands for smartphone wars, although Samsung would like it to be all about the S.

Ever since the launch of the Samsung Galaxy S4 in 2013, Samsung has held both technology and thought leadership in the handset world. Back then, Apple’s iPhone 5 was the last device from the American manufacturer that could lay claim to being the best smartphone in the world. With the 2013 launch of the iPhone 5s, Apple entered an era of incremental improvement, playing catch-up, and succumbing to market trends driven by its competitors.

Six years later, Samsung is fighting off the same threat. Its Chinese rival, Huawei, suddenly wrested away leadership in the past year, with the P20 Pro and Mate 20 Pro regarded as at last equal to the Samsung Galaxy S9 Plus and Galaxy Note 9 – if not superior. Certainly, from a cost perspective, Huawei took the lead with its more competitive prices, and therefore more value for money.

Huawei also succeeded where Apple failed: introducing more economical versions of its flagship phones. The iPhone 5c, SE and XR have all been disappointments in the sales department, mainly because the price difference was not massive enough to attract lower-income users. In contrast, the Lite editions of the Huawei P9, P10 and P20 have been huge successes, especially in South Africa.

Today, for the first time in half a decade, Samsung goes into battle on a field laid out by its competitors. It is expected to launch the Galaxy S10 Plus, S10 and S10 e, with the latter being the Samsung answer to the strategy of the iPhone XR and Huawei P20 Lite.

Does this mean Samsung is now in lock-step with its rivals, focused on matching their strategies rather than running ahead of them?

It may seem that way, but Samsung has a few tricks up its electronic sleeve. For example, it is possible it will use the S10 launch to announce its coming range of foldable phones, expected to be called the Galaxy X, Galaxy F, Galaxy Fold or Galaxy Flex. It previewed the technology at a developer conference in San Francisco last November, and this will be the ideal moment to reclaim technology leadership by going into production with foldables – even if the S10 range itself does not shoot out the lights.

However, the S10 handsets will look very different to their predecessors. First, before switching on the phone, they will be notable by the introduction of what is being called the punch-hole display, which breaks away from the current trend of having a notch at the top of the phone to house front-facing cameras and speakers. Instead, the punch-hole is a single round cut-out that will contain the front camera. It is the key element of Samsung’s “Infinity O” display – the O represents the punchhole – which will be the first truly edge-to-edge display, on the sides and top.

The S10 range will use the new Samsung user interface, One UI, also unveiled at the developer conference. It replaces the previous “skin”, unimaginatively called the Samsung Experience, to introduce a strong new interface brand.

One UI went live on the Note 8 last month, giving us a foretaste, and giving Samsung a chance to iron out the bugs in the field. It is a less cluttered interface, addressing one of the biggest complaints about most manufacturer skins. Only Nokia and Google Pixel handsets offer pure Android in the local market, but One UI is Samsung’s best compromise yet.

It introduces a new interaction area, in the bottom half, reachable with the thumb, with a viewing area at the top, allowing the user to work one-handed on the bottom area while still having apps or related content visible above. One UI also improves gesture navigation – the phone picks up hand movements without being touched – and notification management.

The S10 range will be the first phones to feature the latest Qualcomm Snapdragon 855 chip, at least for the South African and American markets. That makes it 5G compatible, for when this next generation of mobile broadband becomes available in these markets.

They will also be the first phones to feature Wi-Fi 6, the next generation of the Wi-Fi mobile wireless standard. It will perform better in congested areas, and data transfer will be up to 40% faster than the previous generation.

The phones will be the first to use ultrasound for fingerprint detection. If Samsung gets it right, this will make it the fastest in-screen fingerprint sensor on the market, and allows for a little leeway if one pushes the finger down slightly outside the fingerprint reader surface. It does mean, however, that screen protectors will have to be redesigned to avoid blocking the detection.

Not enough firsts? There are a few more.

Most notably, it will be the first phone range to feature 1 Terabyte (TB) storage – that’s a thousand Gigabytes (GB) – at least for the top-of-the-range devices. Samsung last month announced that it would be the first manufacturer to make 1TB built-in onboard flash storage. Today, it will deploy this massive advantage as it once again weaponises its technology in the fight for smartphone domination.

  • Arthur Goldstuck is founder of World Wide Worx and editor-in-chief of Gadget.co.za. Follow him on Twitter and Instagram on @art2gee

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IoT set to improve authentication

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By Sherry Zameer, Senior Vice President, Internet of Things Solutions for CISMEA region at Gemalto

As it rapidly approaches maturity, the Internet of Things (IoT) is set to continue a transformational trajectory, introducing new efficiencies in multiple fields by allowing measurement and analysis on a scale that has never been possible before. From agriculture to logistics, from retail to hospitality, from traffic to health, from the home to the office, the applications for monitoring ”things” are limited only by the imagination.

And South African (and African) businesses are showing abundant imagination in their practical deployments of IoT solutions in multiple settings, creating a better tomorrow through almost universal measurement and the introduction of new levels of convenience – including how to access locations, devices and services securely.

Any company, whether South African or international, should bear in mind that understanding consumer expectations can be the key to unlocking the full potential of IoT devices and related smart services.

According to Gemalto’s latest Connected Living study, improving the way consumers authenticate themselves to services is one of the most anticipated benefits of IoT, highlighting a desire for a more seamless and secure IoT experience.

Consumers are interested in advanced ways of authenticating themselves through automatic (based on behavioral patterns) or biometric techniques, lessening the need to have to intervene manually, all in the name of a much more streamlined authentication process. Smartphone manufacturers like Apple and Samsung have already placed fingerprint and facial recognition high on the agenda. There is also a widespread positive sentiment towards IoT’s potential for improving the quality of home life through connected, smart appliances.

Personalised services is something else that wins consumers over. In fact, a fluid, personalised and unified experience with continuity of services, together with security and privacy, is critical for the successful implementation of any technology.

And those types of services are today quite possible. With everything being connected – from small gadgets to digital solutions for large enterprises – IoT is no longer just a buzzword. That much is clear in a piece from Vodacom IoT managing executive Deon Liebenberg. Writing for IOL Online, Liebenberg provides insight into the sheer range of applications for IoT: the 20 use cases he cites range from the obvious, like transport and logistics, to the connected home and wearables; he even suggests tagging pets with IoT transmitters, for those who always need to know the whereabouts of the family cat.

Low-cost tags fitted to cats, dogs, lamp posts, shipping containers or other items are just one part of the puzzle, however. There are other two pieces; arguably the most complex part is the availability of communication networks in areas where there aren’t any WiFi networks, or indeed, anything else.

And that’s where the bigger takeaway from Liebenberg’s piece and other IoT trends articles becomes apparent. The communication networks are there, as are those tags: dedicated IoT networks (like LoraWAN, SigFox and narrowband IoT) are all available in South Africa.

So, too, is the third and final essential component. Software which is able to process the data generated by the tag and transmitted over the IoT network and into the internet. In this regard, there’s no shortage of solutions available from cloud providers like AWS and Azure; electronics giant Siemens, too, is in on the action, having recently launched a new cloud-based IoT operating system to develop applications and services for process industries, including oil and gas and water management.

This combination means it is quite possible right now to enable just about any use case. Business owners, who will know best how IoT can add value in their organisation, can now see their ideas becoming reality. Most crucial of all, IoT solutions delivering new levels of efficiency and convenience are not only possible, they are able to be offered with the simple and effective security that will drive consumer acceptance.

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